Draws the distribution (on the test sample) of the
impact on the network output of a small variation of
each input.
DrawDInputs() draws something that approximates the distribution of the
derivative of the NN w.r.t. each input. That quantity is recognized as
one of the measures to determine key quantities in the network.
What is done is to vary one input around its nominal value and to see
how the NN changes. This is done for each entry in the sample and produces
a distribution.
What you can learn from that is:
- is variable a really useful, or is my network insensitive to it ?
- is there any risk of big systematic ? Is the network extremely sensitive
to small variations of any of my inputs ?
As you might understand, this is to be considered with care and can serve
as input for an "educated guess" when optimizing the network.

Create a profile of the difference of the MLP output minus the
true value for a given output node outnode, vs the true value for
outnode, for all test data events. This method is mainly useful
when doing regression analysis with the MLP (i.e. not classification,
but continuous truth values).
The resulting TProfile histogram is returned.
It is not drawn if option "goff" is specified.
Options are passed to TProfile::Draw

Creates TProfiles of the difference of the MLP output minus the
true value vs the true value, one for each output, filled with the
test data events. This method is mainly useful when doing regression
analysis with the MLP (i.e. not classification, but continuous truth
values).
The returned THStack contains all the TProfiles. It is drawn unless
the option "goff" is specified.
Options are passed to TProfile::Draw.

Creates a profile of the difference of the MLP output outnode minus
the true value of outnode vs the input value innode, for all test
data events.
The resulting TProfile histogram is returned.
It is not drawn if option "goff" is specified.
Options are passed to TProfile::Draw

Creates a profile of the difference of the MLP output outnode minus the
true value of outnode vs the input value, stacked for all inputs, for
all test data events.
The returned THStack contains all the TProfiles. It is drawn unless
the option "goff" is specified.
Options are passed to TProfile::Draw.